Courses > Python 2018

IMPRS-gBGC course 'Python'

Category: Skill course
Credit points: 0.2 CP per course day

1.  Concept

This course addresses everybody who is interested in learning Python from scratch. The course is organized in three parts: "Basics" on day one and two, "Advanced Analysis with Python" on day three and "Data Visualisation" on day four. Please sign up for the modules that are of interest for you. If you have any question ie. regarding the level of detail feel free to address the instructors.

2.  Organizational issues

Instructors: Jacob Nelson, Sujan Koirala
Date: November 26-30, 2018
Starting time: 9.00 am
Place: Seminar room B0.002 (MPI-BGC)

3.  Agenda

Day Content
November 26 Overview of commonly used programming languages
9:00 am Introduction to Python, R, MATLAB and Julia
November 27 Basics
9:00 am

Intallation and package management

  • Python 2 vs. 3
  • Installation
  • Package management with Anaconda
    • Environments
  • Integrated development environment - spyder
pm

Data types

  • Integers, floats, strings, boolean
  • Lists and dictionaries
  • Arrays
  • Data Cubes
November 28 Basics
am

Structure of a Python Program

  • Writing first code
  • Good practices
  • Writing your own module
  • Adding your programs to the Python path

I/O

  • Read data
  • Save data

Mathematical operations in NumPy

  • Arrays
  • Matrices
  • Masks
November 29 Advanced Analysis with Python
am
  • Statistical Analysis
    • SciPy
  • Machine Learning
    • Scikit Learn
  • Pandas
November 30 Data Visualisation
am
  • MatPlotLib
    • Lines and Scatters
    • Maps
  • Interactive Visualization
    • Bokeh
  • Structure of a figure


4.  What you need to prepare

Bring a laptop.

Please also make sure that you can access the internet via WLAN (BGC-users, if you have a BGC-account; BGC-guests, if you don't have an account)

5.  Material

Python in Earth Science

6.  Registration

Click here to register before October 17, 2018.

7.  Participants



This page was last modified on February 28, 2018, at 07:36 AM

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